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• W2045686670 abstract "An important challenge in ecology is to predict patterns of biodiversity across eco-geographical gradients. This is particularly relevant in areas that are inaccessible, but are of high research and conservation value, such as mountains. Potentially, remotely-sensed vegetation indices derived from satellite images can help in predicting species diversity in vast and remote areas via their relationship with two of the major factors that are known to affect biodiversity: productivity and spatial heterogeneity in productivity. Here, we examined whether the Normalized Difference Vegetation Index (NDVI) can be used effectively to predict changes in butterfly richness, range size rarity and beta diversity along an elevation gradient. We examined the relationship between butterfly diversity and both the mean NDVI within elevation belts (a surrogate of productivity) and the variability in NDVI within and among elevation belts (surrogates for spatial heterogeneity in productivity). We calculated NDVI at three spatial extents, using a high spatial resolution QuickBird satellite image. We obtained data on butterfly richness, rarity and beta diversity by field sampling 100 m quadrats and transects between 500 and 2200 m in Mt Hermon, Israel. We found that the variability in NDVI, as measured both within and among adjacent elevation belts, was strongly and significantly correlated with butterfly richness. Butterfly range size rarity was strongly correlated with the mean and the standard deviation of NDVI within belts. In our system it appears that it is spatial heterogeneity in productivity rather than productivity per se that explained butterfly richness. These results suggest that remotely-sensed data can provide a useful tool for assessing spatial patterns of butterfly richness in inaccessible areas. The results further indicate the importance of considering spatial heterogeneity in productivity along elevation gradients, which has no lesser importance than productivity in shaping richness and rarity, especially at the local scale." @default.
• W2045686670 created "2016-06-24" @default.
• W2045686670 creator A5005360889 @default.
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• W2045686670 date "2010-11-25" @default.
• W2045686670 modified "2023-10-16" @default.
• W2045686670 title "Can we predict butterfly diversity along an elevation gradient from space?" @default.
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• W2045686670 cites W1969023051 @default.
• W2045686670 cites W1969527622 @default.
• W2045686670 cites W1973280167 @default.
• W2045686670 cites W1974313935 @default.
• W2045686670 cites W1981817805 @default.
• W2045686670 cites W1986155991 @default.
• W2045686670 cites W1986813412 @default.
• W2045686670 cites W1989551997 @default.
• W2045686670 cites W1995249485 @default.
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• W2045686670 cites W2000684007 @default.
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• W2045686670 cites W2008750671 @default.
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• W2045686670 cites W2024492942 @default.
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• W2045686670 cites W2062590206 @default.
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• W2045686670 cites W2089726372 @default.
• W2045686670 cites W2095584325 @default.
• W2045686670 cites W2097435663 @default.
• W2045686670 cites W2102925718 @default.
• W2045686670 cites W2109889153 @default.
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• W2045686670 cites W2113410727 @default.
• W2045686670 cites W2116342619 @default.
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• W2045686670 cites W2162760938 @default.
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• W2045686670 doi "https://doi.org/10.1111/j.1600-0587.2010.06460.x" @default.
• W2045686670 hasPublicationYear "2010" @default.
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